Budget: 1000 EUR Deadline: 14 days

I have worked with a similar pipeline: n8n + LLM for content generation, Telegram Bot API for auto-posting, Stable Diffusion / DALL-E for visuals. I can assemble an MVP in 14 days.

Regarding architecture. OpenClaw as the orchestrator, each sub-agent in a separate n8n workflow. The Character Bible is stored in JSON, Avatar Generator through ComfyUI or Replicate API with face fixation via IP-Adapter. Publication through Telegram Bot API with scheduled messages.

Question: which Image API do you plan to use for generating avatars, or is it up to my choice? And is there already a concept for the first blogger, or does that also need to be thought out?

Budget: 1000 EUR Deadline: 7 days

Hello.

Your project is exactly in the area where I regularly work — building automated systems and complex pipelines with agent architecture.

I have carefully studied the description and can implement a system for generating and managing AI bloggers with a modular architecture and independent sub-agents.

What I propose:

— Build an MVP version using n8n + OpenAI GPT + image generation via API and integration with Telegram. This will allow for a quick launch of the first bloggers and test content, visuals, and engagement.

— Next, assemble a production architecture in Python using LangGraph, where each agent will perform a strictly defined function:

• Strategy Agent — strategy and target audience
• Blogger Identity Agent — blogger's identity
• Avatar Generator Agent — generation and control of the visual avatar
• Content Creator Agent — texts, scripts, voice
• Image Generator Agent — images and scenes
• Content Planner Agent — publication calendar
• Publisher Agent — auto-posting in Telegram

It is also possible to implement:

— a system for controlling visual identity (one avatar, library of poses, unified style)
— a centralized database of bloggers and content
— scaling to dozens and hundreds of channels
— independent launching and testing of each sub-agent

The architecture will be built in such a way that the system can be scaled to 50–100 bloggers without reworking the core.

I am ready to discuss:

• MVP architecture
• stack for generating images and voices
• database structure
• channel scaling system

If convenient — we can have a brief call and I will suggest the optimal implementation architecture. Expand

Budget: 1000 EUR Deadline: 30 days

Good day!

I can implement this system in Python + multi-agent architecture:

- Text generation through OpenAI / Claude
- Image generation (digital avatar) through DALL-E / Stable Diffusion
- Voice scripts through ElevenLabs
- Scheduling + auto-publishing in Telegram
- Pipeline of sub-agents (Prompt, Creator, Image, Planner, Publisher, TikTok Live Script)

I am ready to discuss the architecture in more detail. Please write to me privately. Expand

Budget: 3000 EUR Deadline: 15 days

Hello,

I’m very interested in your project to build an automated AI blogger content system.

I have 8+ years of experience in backend and full-stack development using Python, Node.js, and cloud infrastructure. I also have experience building automation pipelines, API integrations, and scalable systems. I’m comfortable working with AI APIs, workflow orchestration tools like n8n, and building modular agent-based architectures.

I can help design and implement the MVP using n8n, GPT, Image APIs, and Telegram API, and later scale the system using Python, LangGraph, databases, and structured storage. I also have experience designing modular services that can run independently and scale to multiple instances.

Your multi-agent pipeline approach is clear and well structured, and I would be happy to help implement and optimize it for reliability and scalability.

Looking forward to discussing the details.

Best regards,
JeO Vincent Carretas Expand

Budget: 1650 EUR Deadline: 14 days

Hello! 🚀

I have experience in building AI automations, multi-agent systems, and content pipelines for generating texts, images, scripts, and auto-posting. I can implement a modular AI blogger system for you: from MVP on n8n/OpenAI/Telegram to a production solution on Python + LangGraph with separate sub-agents, visual identity control, content planning, and scaling to dozens and hundreds of bloggers.

Recommended tech stack:

Backend: Python, FastAPI, LangGraph, PostgreSQL, Redis, Celery

Integrations: OpenAI API / LLM API, Image Generation API, ElevenLabs / TTS, Telegram Bot API, n8n, OpenClaw

Frontend: React / Next.js (if needed for the admin panel), TypeScript

Infrastructure: Docker, VPS / cloud, S3-compatible storage, CI/CD, logging and monitoring

I am ready to discuss the project details in person and am ready to start working.

Best regards,
Andriy Expand

Budget: 1000 EUR Deadline: 14 days

Hello.
The project is clear. The key task here is not just to connect GPT and Telegram, but to build a manageable multi-agent system, where each block is responsible for its function, and all logic remains transparent and scalable.
We have experience in AI pipelines, agent-based workflows, Telegram automation, backend orchestration, scheduled publishing, and content management systems.
Several things are critically important in your project:
- control of the blogger's visual identity
- independent launch and restart of sub-agents
- separation of MVP and production architecture
- ability to scale from one blogger to dozens without rewriting the system
I would suggest approaching the project in two stages.
Stage 1 - MVP
n8n + GPT + Image API + Telegram API
Goal - quickly assemble a working pipeline for one blogger and test the hypothesis.
At this stage, the following can be implemented:
- identity profile / character bible
- generation of content units
- image pipeline
- content plan
- Telegram publishing
- structured storage of content and assets
- modular launch of sub-agents
Stage 2 - Production foundation
After testing the MVP, it makes sense to transition the system to a full architecture:
Python + LangGraph + database + storage + isolated agents
This will allow for the implementation of:
- stateful orchestration
- asset management
- control of the blogger's identity
- retry / queue / restart logic
- moderation / approval flow
- scaling to dozens of bloggers
I would like to note separately: control of the blogger's visual identity is one of the most complex elements of the entire system. It needs to be designed as a separate layer, reference assets, pose library, style control; otherwise, when scaling, the visual style begins to drift.
Therefore, within the current budget, it makes sense to focus on the MVP:
one blogger, one managed pipeline, and architecture ready for scaling.
To more accurately assess the volume of the MVP, it is necessary to clarify:
What exactly should be included in the MVP for the current budget?
How many bloggers and channels are planned in the first version?
Does the MVP need only text + image or also voice / video scripts / TikTok pipeline?
Is OpenClaw mandatory or is another orchestration scheme acceptable?
Is mandatory manual moderation required before publication?
I am ready to propose a structure for the MVP pipeline and help define the boundaries of the first version. Expand

Budget: 1200 EUR Deadline: 10 days

Hello!

Your conveyor is clear, and I like that you think in terms of modules with restartable agents, because this is the only way to scale the system from one blogger to dozens without chaos. I can quickly create an MVP using n8n, GPT, image APIs, and publishing through Telegram, and then transition you to a production platform with orchestration in Python style and LangGraph, a full database, and storage for identity resources and content plans.

I would pay special attention to visual identity control. Maintaining a consistent style and appearance across many posts is more challenging than it seems, especially when poses, scenes, and various content formats are added. I have worked on systems where the secret lies not only in the prompts but also in how to store and reuse identity bindings, pose references, and approved generations so that the image agent remains consistent over time.

One idea that will make this system much more reliable is an identity lock evaluation system for each generated resource. Each image or voice output is automatically and quickly checked for compliance with the blogger's style and appearance rules, and all deviations are noted before inclusion in the content plan. This allows for brand stability when scaling up to 50 or 100 bloggers.

https://storyai.cc
https://live.chatbullet.com

Thank you! Expand

Budget: 1200 EUR Deadline: 21 days

Good day.

I have reviewed the project description. Essentially, it is about building a multi-agent system for the automated creation and management of AI bloggers: generating personality, visual avatar, content plan, content, and its publication. Such systems require a clear architecture of agents and a processing pipeline; otherwise, when scaling to dozens of channels, they quickly become unstable.

I am engaged in the development of AI systems and content automation and understand the proposed architecture (Strategy → Identity → Character Bible → Avatar → Content → Planner → Publisher). Such a project logically makes sense to implement in two stages, as you described.

Stage 1 (MVP):
n8n + OpenAI + Image API + Telegram API
We create a basic pipeline for generating bloggers, content, and publications to test hypotheses.

Stage 2 (Production):
Python + LangGraph + database + storage for assets
Building a full-fledged system of sub-agents with control over visual identity and scaling to dozens of channels.

I can implement:
• architecture of the multi-agent pipeline
• generation of the personality and Character Bible of the blogger
• image generation system with control over visual style
• generation of text and script content
• content planning system
• automatic publication in Telegram
• preparation of scripts for TikTok Live

Estimated timeline:
MVP — 2–3 weeks - the price will be indicated for the MVP version
Production version — 4–6 weeks.

I am ready to discuss the details and propose an optimal architecture for implementation. Expand

Budget: 1000 EUR Deadline: 5 days

Good day. I am ready to complete this project and have extensive experience in developing various applications.

Budget: 1000 EUR Deadline: 1 day

✋ Hello! We are the IT company dZENcode.

We are implementing a modular AI system for generating and managing AI bloggers using GPT, Python, LangGraph, Telegram API, and visual identity control, based on the team's experience, best practices, and our own developments.

Do you have a technical specification for the logic of sub-agents?
What APIs for images and voice are you considering?

You can find detailed information about our services and rates on our website: Freelancehunt
Take a look – we will discuss the details of the work further, write when you are ready.

The final cost is determined only after clarifying the scope and requirements.

___________________
Sincerely,
Manager of dZENcode

Our strengths:
💎 10+ years providing IT services: Outsourcing, Outstaffing
🔥 90+ in-house specialists
🚀 Projects "from scratch" and for support
⚙️ SLA and post-production support
✅ Contract with the company, guaranteed results!
🔥 250+ public reviews since 2015. Expand

Budget: 1950 EUR Deadline: 15 days

Hello, believe me, 90% of freelancers willing to take on the project are just vibe coders who don't even know the basics of Python and have negative reviews, claiming at the age of 20 to have 10-15 years of experience on large projects. Choose a truly experienced person with similar cases, like mine. Write to me and we will discuss the project in more detail, or you can stick with an unfinished, flawed project that will be put together from A to Z by neural networks.

Budget: 7000 EUR Deadline: 30 days

Hello!

I have carefully studied the project description. The task is clear: it is necessary to create a modular system for generating and managing AI bloggers, where each sub-agent performs a strictly defined function — from creating the blogger's personality to generating content and automatic publishing.

📌 Proposed Implementation
Stage 1 — MVP (quick launch)
Technologies: n8n + OpenAI/GPT + Image API + Telegram API

Functions:
orchestration of sub-agents through n8n / OpenClaw
generation of the blogger's personality (Strategy Agent, Identity Agent)
creation of Character Bible
generation of avatar and visual style
generation of post texts and scripts
generation of images for posts
content planning
auto-publishing in Telegram
creation of a basic pose library

Result:
1–3 fully functioning AI bloggers
automatic content generation
publication calendar
testing content hypotheses

⏱ Deadline: 2–3 weeks
Stage 2 — Production system
Technologies: Python + LangGraph + PostgreSQL + Object Storage + Image API

Functions:
full orchestration of sub-agents
management of 50–100 bloggers
database of bloggers and content plans
control of visual identity
library of poses and scenes
scalable content generation
TikTok Live Script Agent
API for system management
independent restart of sub-agents

⏱ Deadline: 4–6 weeks

🧩 Architecture
Orchestrator: OpenClaw / LangGraph
Agents: modular micro-agents
Database: PostgreSQL
Storage: S3 / Cloud storage
Automation: n8n
Publishing: Telegram Bot API
Content generation: GPT + Image models

💰 Cost
MVP: $2000
Production system: $7000

🚀 Experience
AI agents and multi-agent systems
automation of content factories
Telegram automation
LangGraph / Python pipelines
generation of images and avatars

Ready to discuss the details and propose an optimal architecture for scaling to 100+ AI bloggers. Expand

Budget: 1500 EUR Deadline: 30 days

Hello! I have experience in developing content generation systems and automation through AI agents and the Telegram API. I can implement an MVP using the combination of n8n + GPT + Image API + Telegram, with a modular architecture of agents and the possibility of further scaling to a production version. I am ready to discuss the architecture, timelines, and propose an optimal pipeline for your project.

Budget: 1000 EUR Deadline: 10 days

Hello!

Your project describes a multi-agent content factory based on AI, and I can develop the complete system architecture and automation pipeline that you described. I have extensive experience with Python, Node.js, AI APIs, agent orchestration, and automation platforms like n8n, which is well-suited for your two-step approach (MVP → scaling to production).

At the MVP stage, I would implement a working automation flow using n8n + GPT API + image generation API + Telegram API. The system will generate data on blogger identification, create structured prompts, generate text and images, store resources, and automatically schedule posts in Telegram channels. Each function will be divided into separate modules so that each sub-agent can be tested and restarted independently.

At the production stage, I would translate the architecture to a scalable system using Python and LangGraph for agent orchestration, connected to a structured database and storage layer. Each agent in your pipeline (strategy, identification, avatar generation, pose library, content matrix, prompt generator, content creator, scheduler, publisher, and script generator for TikTok) will operate as a managed node in the workflow. This ensures reliable scaling to dozens or hundreds of bloggers while maintaining the visual identity and resource library of each blogger.

The system will include structured storage for bloggers, prompts, visual resources, pose libraries, and generated content. Image generation will support consistency of face and style through managed prompts and saved reference resources. Content scheduling, posting to Telegram, and script generation for TikTok Live will be performed automatically through the orchestration layer.

Ultimately, the platform will allow you to manage multiple bloggers, control their identification, generate and schedule content, and track the entire pipeline while maintaining the independence and restart capability of each agent.

I would be happy to discuss the architecture and help turn this into a stable, scalable automation system. Expand

Budget: 1000 EUR Deadline: 1 day

Good day!

I have extensive experience in developing AI automations and multi-agent systems, particularly using n8n, Python, LangGraph, LLM, and generative services for text, images, and voice. I have also worked on building modular pipelines where sub-agents perform specific tasks: content generation, publication scheduling, data management, and API integration.
I suggest we move to private messages to discuss the system architecture, the structure of sub-agents, and the implementation stages.

Budget: 1000 EUR Deadline: 14 days

Hello! I am ready to take on the project, the essence of the task is clear. Write to me privately — we will sort out the architecture.

Budget: 1000 EUR Deadline: 29 days

I have experience in developing AI systems and automating content pipelines. I can help build a modular system with sub-agents for generating and managing AI bloggers: from shaping personality and visual avatar to creating content and automatic publications.

For the MVP, a solution can be quickly implemented using n8n + GPT + Image API + Telegram API to test the hypothesis and launch the first channels. The system can then be scaled to production level using Python + LangGraph with a database, asset storage, and management of dozens of bloggers with visual identity control.

I am ready to discuss the architecture and help implement this project.

Budget: 1000 EUR Deadline: 1 day

Hello! I have reviewed the technical specifications — the logic of the pipeline and the requirements for modularity/scalability are clear (OpenClaw + sub-agents, identity control, MVP on n8n → production on Python/LangGraph). I am delving into the details and already see how quickly to assemble the MVP and lay the foundation for 50–100 bloggers.

I can take this on: I will propose the architecture of the modules, the database/storage schema, the format of the “character bible,” control of the fixed face + a library of poses, and I will connect scheduling/posting in Telegram and TikTok Live scripts. Let me know which niche/tone of the blogger we are starting with and how many channels in the first test — I will start immediately.